What are the best practices for chaos engineering?
An example of an AI chatbot conversation about chaos engineering best practices.
What are the best practices for chaos engineering?
Chaos engineering involves experimenting on a system to build confidence in its resilience. Best practices include defining steady state, injecting failures, and running experiments in production.
Can you explain what you mean by 'defining steady state'?
Defining steady state means identifying the normal operating conditions of your system, such as response times and error rates, so you can measure the impact of your experiments.
What types of failures should I inject during chaos engineering?
You can inject various types of failures, such as server outages, network latency, and resource exhaustion, to test how your system responds.
How do I ensure that my chaos engineering experiments are safe?
To ensure safety, start with small-scale experiments, monitor system performance closely, and have rollback plans in place.
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